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Seagull: An Infrastructure for Load Prediction and Optimized Resource Allocation

Summary: DS-driven load prediction and optimized resource allocation for cloud DB servers. Seagull ingests per-server telemetry, trains ML models, and continually re-evaluates accuracy with fallbacks and alerts; deployed across Azure regions to schedule backups in low-load windows, reducing interference with user workloads. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
12342
Venue
VLDB
Year
2021
Pagerank
4.8475963e-05
Overall Rank
7,044 | 51.05%
DOI
10.14778/3425879.3425886

Incoming Non-self Citations Over Time

Authors

Incoming Citations (Sorted by Pagerank)

Showing 14 of 14 citing papers.

Rank Citing Paper Year Venue Pagerank
2,376 Moneyball: Proactive Auto-Scaling in Microsoft Azure SQL Database Serverless 2022 VLDB 8.9367999e-05
2,955 Magpie: Python at Speed and Scale using Cloud Backends 2021 CIDR 7.8188583e-05
6,702 Tenant Placement in Over-subscribed Database-as-a-Service Clusters 2022 VLDB 4.9518701e-05
7,652 Machine Learning for Cloud Data Systems: the Progress so far and the Path Forward 2021 VLDB 4.6831938e-05
8,003 The Holon Approach for Simultaneously Tuning Multiple Components in a Self-Driving Database Management System with Machine Learning via Synthesized Proto-Actions 2024 VLDB 4.6049527e-05
8,378 Towards Building Autonomous Data Services on Azure 2023 SIGMOD 4.5275731e-05
8,714 Tiresias: Enabling Predictive Autonomous Storage and Indexing 2022 VLDB 4.457682e-05
9,032 Making Data Clouds Smarter at Keebo: Automated Warehouse Optimization using Data Learning 2023 SIGMOD 4.3998185e-05
10,411 ABase: the Multi-Tenant NoSQL Serverless Database for Diverse and Dynamic Workloads in Large-scale Cloud Environments 2025 SIGMOD 4.1905499e-05
10,421 Oceanus: Enable SLO-Aware Vertical Autoscaling for Cloud-Native Streaming Services in Tencent 2025 SIGMOD 4.1905499e-05
10,934 Proactive Resume and Pause of Resources for Microsoft Azure SQL Database Serverless 2024 SIGMOD 4.1905499e-05
10,969 Lorentz: Learned SKU Recommendation Using Profile Data (DMDS) 2024 SIGMOD 4.1905499e-05
11,014 Intelligent Pooling: Proactive Resource Provisioning in Large-scale Cloud Service 2024 VLDB 4.1905499e-05
11,491 Toto - Benchmarking the Efficiency of a Cloud Service 2021 SIGMOD 4.1905499e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 7 of 7 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank Cited Paper Year Venue Pagerank
573 Workload-Aware Database Monitoring and Consolidation 2011 SIGMOD 0.00019886777
1,081 Dhalion: Self-Regulating Stream Processing in Heron 2017 VLDB 0.00014201838
1,321 Automated Demand-driven Resource Scaling in Relational Database-as-a-Service 2016 SIGMOD 0.00012605455
1,498 P-Store: An Elastic Database System with Predictive Provisioning 2018 SIGMOD 0.00011660631
4,575 The Missing Piece in Complex Analytics: Low Latency, Scalable Model Management and Serving with Velox 2015 CIDR 6.0662145e-05
5,729 Survivability of Cloud Databases - Factors and Prediction 2018 SIGMOD 5.3499416e-05
9,948 Not for the Timid: On the Impact of Aggressive Over-booking in the Cloud 2016 VLDB 4.2391069e-05
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